Satellite Workshops

• DEIB – Politecnico di Milano, Italy
• Lynkeus, Italy
• InfoMus/CasaPaganini – University of Genova, Italy
• Athena Research Center, Greece
• Motek Entertainment, Netherlands
• Peachnote, Germany
• Centre for Dance Research (C-DaRE) at Coventry University, UK
• Instituto Stocos, Spain
• K. Danse, France
• Lyceum Club of Greek Women, LCGW, Greece

Technologies for motion capturing have evolved very rapidly in the past few decades. In addition to professional motion capturing systems, today we can count on commercially available low-cost devices that allow us to gather motion information in everyday environments; and all sorts of sensing devices that allow us to complement this information with other multi-modal signals coming from sounds, muscle contraction, breathing, accelerometers, gyroscopes, etc.

When the goal of this multi-modal analysis is to make sense of dance movements, we are suddenly faced with additional layers of information to extract and analyze at all levels of abstraction. Similarly to what happens in the field of Music Information Retrieval, Dance offers a structured language for describing, planning and designing the emotional trajectories that can be elicited and evoked by dance movements, to make sense of which we need to resort to advanced signal processing solutions, from low-level trajectory analysis, to high-level movement quality assessment based on machine learning. The Wholodance project approaches exactly such problems from all points of view.

The main focus of the Wholodance Workshop is to bring together experts of dance movement analysis coming from both sides of the spectrum: scientists who focus on movement analysis and quality assessment, as well as dancers, who help scientists make sense of descriptors that are often hard to pinpoint and formalize. This workshop will present the latest scientific and technical results achieved by the Wholodance Consortium and will showcase the developed technologies in the form of performative dance demonstrations.

STATOS 2018, is the third in a series of thematic workshops co-sponsored by EURASIP in memory of Alex B. Gershman. STATOS 2018 is focused on the theme of Graph Signal Processing.

STATOS 2018 is meant to be a ‘capstone’ event, packed with four cutting-edge in-depth keynote lectures by world-class experts in graph signal processing combining tools from classical signal processing, machine learning, distributed optimization, and networking. It is a rare opportunity to listen, learn, and interact with these experts in an intense half-day workshop. This year, the keynote speakers are:

• Sergio Barbarossa
  "Living in a World of Multiway and Uncertain Relations: Signal Processing over Discrete Sets"
  2:00 pm – 3:00 pm
• Gonzalo Mateos Buckstein
  "Network topology inference from spectral templates"
  3:00 pm – 4:00 pm
• Dimitri Van De Ville
  "Graph Signal Processing Opens New Perspectives for Functional Brain Imaging"
  4:30 pm – 5:30 pm
• Vincent Gripon
  "Matching Convolutional Neural Networks with Graph Signals"
  5:30 pm – 6:30 pm